Corine H.G. Horsch, Nanja J. J. M. Smets, Mark A. Neerincx, & Raymond H. Cuijpers. (2013). Revealing unexpected effects of rescue robots' team-membership in a virtual environment. In J. Geldermann and T. Müller S. Fortier F. F. T. Comes (Ed.), ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management (pp. 627–631). KIT; Baden-Baden: Karlsruher Institut fur Technologie.
Abstract: In urban search and rescue (USAR) situations resources are limited and workload is high. Robots that act as team players instead of tools could help in these situations. A Virtual Reality (VR) experiment was set up to test if team performance of a human-robot team increases when the robot act as such a team player. Three robot settings were tested ranging from the robot as a tool to the robot as a team player. Unexpectedly, team performance seemed to be the best for the tool condition. Two side-effects of increasing robot's teammembership could explain this result: Mental workload increased for the humans who had to work with the team-playing robot, whereas the tendency to share information was reduced between these humans. Future research should, thus, focus on team-memberships that improve communication and reduce cognitive workload.
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Jeff Maunder. (2018). The Geospatial Intelligence Continuum during Sudden Onset Disaster Response. In Kristin Stock, & Deborah Bunker (Eds.), Proceedings of ISCRAM Asia Pacific 2018: Innovating for Resilience – 1st International Conference on Information Systems for Crisis Response and Management Asia Pacific. (pp. 246–253). Albany, Auckland, New Zealand: Massey Univeristy.
Abstract: This document will discuss the current methodologies used by New Zealand DART and USAR teams to collect manage, analyse and report on information gathered during the initial and subsequent phases of deployments to a sudden onset disaster (SOD). This will include some of the experiences that have formed the current methodology and the outcomes of disaster events with new methodologies applied. It will further identify and discuss the current systems and processes in place and how they have come about, and then identify a range of opportunities and issues that exist within the Geospatial Intelligence environment to be more effective, both in systems and the development of partnerships to enhance the usability and intuitive nature of these systems and methods. Finally, the discussion will look to identify a future state for responders to SOD's and the ability and outcomes of proposed and imagined future systems, leveraging off the current Esri packages to provide a starting platform and a desired end state.
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Samuel Auclair, Pierre Gehl, Mickael Delatre, Christophe Debray, & Philippe Méresse. (2022). In-depth Analysis of Practitioners' Perceptions about Seismic Early Warning Prior to Aftershocks: The Point of View of the USAR Community. In Rob Grace, & Hossein Baharmand (Eds.), ISCRAM 2022 Conference Proceedings – 19th International Conference on Information Systems for Crisis Response and Management (pp. 740–754). Tarbes, France.
Abstract: Urban Search and Rescue (USAR) teams are particularly exposed to the risk of collapse of buildings due to aftershocks, making concept of earthquake early warning (EEW) particularly interesting. In addition to scientific advances in EEW, it is crucial to understand what are the real expectations and needs of USAR teams, and to what extent EEW solutions could meet them. In this study, we conduct a survey to collect insights from USAR rescuers: it highlights that aftershocks are a major concern for them. In this context, we find that the concept of EEW is very favorably received by the respondents, who consider different types of possible actions upon receipt of an early warning. This study provides a basis for the functional specifications of future solutions of EEW useful to all USAR teams, as well as for the definition of their modalities of engagement on the field.
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